AI-Powered Intelligent Resume Screening and Enhancement System

In today's highly competitive job market environment, there are quite a number of challenges that can arise for both

parties when the process of recruitment is carried out. For example, recruiting personnel have to manually analyze large

numbers of resumes, which is a cumbersome process. On the other hand, candidates face the challenge of knowing why their

resumes were rejected and ways of improving them. Therefore, this paper seeks to come up with an AI-powered intelligent

resume screening and enhancement system. Such an application will consist of two parts: machine learning-based selection of

candidates and personalized resume analysis via NLP. This system will use NLP approaches to extract structured data from

unstructured resumes. Afterward, job role and resume matching will be conducted followed by predicting the probability of a

candidate making it to the interview based on their score. In addition, it will do a skill gap analysis, quality rating of resumes,

and identification of the required competencies to fill the vacancy. The solution will further incorporate user-friendly features

that will ensure that no form of bias is experienced during the entire process.